Algo Trading Course in Bengaluru
The Bengaluru engineer's problem is the opposite of the rest of India's. No developer in Koramangala or Whitefield needs to be taught Python - they already know it. The problem is that almost all algo trading content on the internet is built for US markets: Alpaca, Interactive Brokers, the S&P 500. How the NSE actually works, how the access-token flow works in Zerodha Kite Connect, what SEBI says about retail algos, how F&O lot sizes and margins behave - this India-specific implementation layer exists nowhere in a structured form. This course is exactly that layer.
- ✔ No coding background needed
- ✔ Lifetime access + updates
- ✔ Taught by Atul Shrivastava (16+ yrs)
- ✔ Education only — no tips, no calls
Where the real value is for engineers
If you already write code, you will move through the Python-basics section quickly - it is there for beginners. For you, the real value sits in these areas:
- Market microstructure: NSE/BSE order matching, order types (SL, SL-M, bracket), circuit limits, expiry mechanics - the things no documentation spells out
- Kite Connect in production: login/TOTP automation, WebSocket live data, handling rate limits, and the real-world edge cases of order placement
- Backtests that do not lie: avoiding lookahead bias, survivorship bias and overfitting - where most DIY backtests silently fail
- Risk and position sizing: writing the strategy is easy; keeping it alive with real capital is the actual engineering
- SEBI compliance: the retail algo framework and static IP registration - the legal side, made clear
A realistic path from side project to side income
Every second engineer in Bengaluru has a trading side project - and most of them end the same way: a script written over a weekend, run for two weeks, one loss, abandoned. That does not happen because the code was bad. It happens because the strategy was never properly backtested, and risk management never existed in the code at all.
This course takes the reverse approach: first the historical proof of your strategy, then live-like practice in virtual trading, then real deployment at small size - on a Vultr VPS with a static IP, so your bot is running even during your 9 am standup. We treat trading not as a shortcut to side income, but as an engineering discipline - which is exactly why the approach fits engineers so naturally.
For people who do not code, too
Bengaluru is not only a tech city - it has business owners, finance professionals and students for whom the course's Python foundation section starts from absolute zero. Variables, lists and functions up to Pandas - manageable for anyone comfortable with Excel. The course is taught in a simple Hindi-English mix, so language is never a barrier.
What we do NOT do is just as clear: no tips or calls service, no profit promises, and we never manage anyone's money. Education only - you build your own system, understand it fully, and run it yourself. Everything stays in your control, and every line of code is yours.
Fees and enrolment
The course fee is Rs 24,900 - lifetime access, future updates included. Enrolment is at study.thefinbaba.com.
Book a free demo on WhatsApp - see the course structure, ask your technical questions (API architecture, backtest methodology, whatever you want to probe), then decide. The instructor, Atul Shrivastava, has 16+ years in the markets and 8+ years mentoring Python algo trading - in the demo you speak to him directly, not to a sales team.
Algorithmic Trading with Python
50+ modules - Python basics se live automated deployment tak. Kite Connect API, backtesting, VPS, sab included. No coding background needed.
Frequently Asked Questions
I already know Python - will the course be too slow for me?
No - you can move through the Python-basics modules at skip speed. Your focus will be the broker API integration, backtesting methodology, market microstructure and deployment sections, which form the core of the course and carry the India-specific knowledge that is hard to find even scattered online.
Does the course cover any broker APIs besides Zerodha?
The primary focus is Zerodha Kite Connect - India's most reliable and best-documented broker API. The Shoonya API is also covered. The concepts (auth, data, orders) stay the same, so you can apply them to other brokers as well.
What is the fee for the algo trading course in Bengaluru?
TheFinBaba's Algorithmic Trading with Python course costs Rs 24,900 - lifetime access, 50+ modules, WhatsApp support and all future updates included. A free demo is available before you enrol.
How do I manage the course alongside my job?
The course is fully recorded - do it in the evenings or on weekends at your own pace. And once your system is built, it runs on a VPS during market hours by itself - no conflict with your office schedule.
Will my company's trading policy be an issue?
Most IT companies allow personal investing and trading, but you should check your own company's policy - some require pre-clearance or have blackout windows. That responsibility is yours; this course provides education for your personal account only.
Ready to start?
Take a free demo first — see the course structure and ask anything before you decide.
Disclaimer: TheFinBaba provides educational content only. Nothing on this page is investment advice or a recommendation to buy or sell any security. Trading in financial markets carries risk of loss — make every decision based on your own research and risk capacity.